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Quantum AI Research Lead (2026 Vision)

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer the quantum-AI frontier for 2026. We seek a visionary Research Lead to architect breakthrough systems that will redefine computational paradigms. This role demands a blend of deep technical expertise and strategic foresight to navigate the complex intersection of quantum computing and artificial intelligence.

As a key architect of our 2026 technology roadmap, you'll collaborate with Nobel laureates, industry disruptors, and government agencies to solve humanity's most pressing challenges. Our Austin headquarters features a state-of-the-art quantum lab and AI supercomputing cluster, enabling unparalleled research opportunities.

Responsibilities

  • Lead quantum-AI hybrid system architecture for 2026 deployment
  • Direct cross-disciplinary R&D teams in quantum machine learning and neural network optimization
  • Develop strategic partnerships with quantum hardware manufacturers and AI research institutes
  • Secure federal and private funding for next-gen quantum-AI initiatives
  • Author white papers and patents for quantum-resistant AI algorithms
  • Mentor PhD researchers and postdocs in quantum information science
  • Present breakthrough findings at global tech summits (2026 World Tech Forum, CES)

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 8+ years industry experience
  • Published research in Nature/Science on quantum machine learning or hybrid systems
  • Expertise in quantum circuit design, error correction, and fault-tolerant architectures
  • Proven track record of securing $5M+ in research funding
  • Proficiency in Python, Qiskit, TensorFlow Quantum, and Cirq
  • Deep understanding of NISQ-era limitations and 2026 quantum roadmap
  • Experience leading geographically distributed research teams

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Scientific Leadership Strategic Partnerships Research Funding Quantum Error Correction

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